Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.

A simultaneous optimization strategy based on a neuro-genetic approach is proposed for selection of laser induced breakdown spectroscopy operational conditions for the simultaneous determination of macronutrients (Ca, Mg and P), micro-nutrients (B, Cu, Fe, Mn and Zn), Al and Si in plant samples. A l...

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Detalles Bibliográficos
Autores: Nunes, Lidiane Cristina, Silva, Gilmare Antônia da, Trevizan, Lilian Cristina, Santos Júnior, Dario, Poppi, Ronei Jesus, Krug, Francisco José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:Brasil
Institución:Universidade Federal de Ouro Preto (UFOP)
Repositorio:Repositório Institucional da UFOP
Idioma:inglés
OAI Identifier:oai:repositorio.ufop.br:123456789/5074
Acceso en línea:http://www.repositorio.ufop.br/handle/123456789/5074
https://doi.org/10.1016/j.sab.2009.05.002
Access Level:acceso abierto
Palabra clave:Plant analysis
Genetic algorithm
Simultaneous optimization
Bayesian regularized neural network
Laser induced breakdown spectroscopy
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spelling Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.Plant analysisGenetic algorithmSimultaneous optimizationBayesian regularized neural networkLaser induced breakdown spectroscopyA simultaneous optimization strategy based on a neuro-genetic approach is proposed for selection of laser induced breakdown spectroscopy operational conditions for the simultaneous determination of macronutrients (Ca, Mg and P), micro-nutrients (B, Cu, Fe, Mn and Zn), Al and Si in plant samples. A laser induced breakdown spectroscopy system equipped with a 10 Hz Q-switched Nd:YAG laser (12 ns, 532 nm, 140 mJ) and an Echelle spectrometer with intensified coupled-charge device was used. Integration time gate, delay time, amplification gain and number of pulses were optimized. Pellets of spinach leaves (NIST 1570a) were employed as laboratory samples. In order to find a model that could correlate laser induced breakdown spectroscopy operational conditions with compromised high peak areas of all elements simultaneously, a Bayesian Regularized Artificial Neural Network approach was employed. Subsequently, a genetic algorithm was applied to find optimal conditions for the neural network model, in an approach called neuro-genetic. A single laser induced breakdown spectroscopy working condition that maximizes peak areas of all elements simultaneously, was obtained with the following optimized parameters: 9.0 μs integration time gate, 1.1 μs delay time, 225 (a.u.) amplification gain and 30 accumulated laser pulses. The proposed approach is a useful and a suitable tool for the optimization process of such a complex analytical problem.2015-04-14T17:53:17Z2015-04-14T17:53:17Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfNUNES, L. C. et al. Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy. Spectrochimica Acta. Part B, Atomic Spectroscopy, v. 64, p. 565-572, 2009. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0584854709001104>. Acesso em: 02 fev. 2015.0584-8547http://www.repositorio.ufop.br/handle/123456789/5074https://doi.org/10.1016/j.sab.2009.05.002ark:/61566/001300000hh29O periódico Spectrochimica Acta Part B: Atomic Spectroscopy concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3580760144309.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPNunes, Lidiane CristinaSilva, Gilmare Antônia daTrevizan, Lilian CristinaSantos Júnior, DarioPoppi, Ronei JesusKrug, Francisco José2024-11-11T06:42:26Zoai:repositorio.ufop.br:123456789/5074Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332024-11-11T06:42:26Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.none.fl_str_mv Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
title Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
spellingShingle Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
Nunes, Lidiane Cristina
Plant analysis
Genetic algorithm
Simultaneous optimization
Bayesian regularized neural network
Laser induced breakdown spectroscopy
title_short Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
title_full Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
title_fullStr Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
title_full_unstemmed Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
title_sort Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy.
dc.creator.none.fl_str_mv Nunes, Lidiane Cristina
Silva, Gilmare Antônia da
Trevizan, Lilian Cristina
Santos Júnior, Dario
Poppi, Ronei Jesus
Krug, Francisco José
author Nunes, Lidiane Cristina
author_facet Nunes, Lidiane Cristina
Silva, Gilmare Antônia da
Trevizan, Lilian Cristina
Santos Júnior, Dario
Poppi, Ronei Jesus
Krug, Francisco José
author_role author
author2 Silva, Gilmare Antônia da
Trevizan, Lilian Cristina
Santos Júnior, Dario
Poppi, Ronei Jesus
Krug, Francisco José
author2_role author
author
author
author
author
dc.subject.por.fl_str_mv Plant analysis
Genetic algorithm
Simultaneous optimization
Bayesian regularized neural network
Laser induced breakdown spectroscopy
topic Plant analysis
Genetic algorithm
Simultaneous optimization
Bayesian regularized neural network
Laser induced breakdown spectroscopy
description A simultaneous optimization strategy based on a neuro-genetic approach is proposed for selection of laser induced breakdown spectroscopy operational conditions for the simultaneous determination of macronutrients (Ca, Mg and P), micro-nutrients (B, Cu, Fe, Mn and Zn), Al and Si in plant samples. A laser induced breakdown spectroscopy system equipped with a 10 Hz Q-switched Nd:YAG laser (12 ns, 532 nm, 140 mJ) and an Echelle spectrometer with intensified coupled-charge device was used. Integration time gate, delay time, amplification gain and number of pulses were optimized. Pellets of spinach leaves (NIST 1570a) were employed as laboratory samples. In order to find a model that could correlate laser induced breakdown spectroscopy operational conditions with compromised high peak areas of all elements simultaneously, a Bayesian Regularized Artificial Neural Network approach was employed. Subsequently, a genetic algorithm was applied to find optimal conditions for the neural network model, in an approach called neuro-genetic. A single laser induced breakdown spectroscopy working condition that maximizes peak areas of all elements simultaneously, was obtained with the following optimized parameters: 9.0 μs integration time gate, 1.1 μs delay time, 225 (a.u.) amplification gain and 30 accumulated laser pulses. The proposed approach is a useful and a suitable tool for the optimization process of such a complex analytical problem.
publishDate 2009
dc.date.none.fl_str_mv 2009
2015-04-14T17:53:17Z
2015-04-14T17:53:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv NUNES, L. C. et al. Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy. Spectrochimica Acta. Part B, Atomic Spectroscopy, v. 64, p. 565-572, 2009. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0584854709001104>. Acesso em: 02 fev. 2015.
0584-8547
http://www.repositorio.ufop.br/handle/123456789/5074
https://doi.org/10.1016/j.sab.2009.05.002
dc.identifier.dark.fl_str_mv ark:/61566/001300000hh29
identifier_str_mv NUNES, L. C. et al. Simultaneous optimization by neuro-genetic approach for analysis of plant materials by laser induced breakdown spectroscopy. Spectrochimica Acta. Part B, Atomic Spectroscopy, v. 64, p. 565-572, 2009. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0584854709001104>. Acesso em: 02 fev. 2015.
0584-8547
ark:/61566/001300000hh29
url http://www.repositorio.ufop.br/handle/123456789/5074
https://doi.org/10.1016/j.sab.2009.05.002
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFOP
instname:Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
instname_str Universidade Federal de Ouro Preto (UFOP)
instacron_str UFOP
institution UFOP
reponame_str Repositório Institucional da UFOP
collection Repositório Institucional da UFOP
repository.name.fl_str_mv Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)
repository.mail.fl_str_mv repositorio@ufop.edu.br
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score 15,300724

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